-
1 Comment
Greencastle Resources Ltd is currently in a long term uptrend where the price is trading 2.8% above its 200 day moving average.
From a valuation standpoint, the stock is 88.9% cheaper than other stocks from the Energy sector with a price to sales ratio of 53.7.
Greencastle Resources Ltd's total revenue rose by 535.2% to $50K since the same quarter in the previous year.
Its net income has increased by 11.0% to $-246K since the same quarter in the previous year.
Finally, its free cash flow fell by 18.3% to $-237K since the same quarter in the previous year.
Based on the above factors, Greencastle Resources Ltd gets an overall score of 4/5.
Exchange | V |
---|---|
CurrencyCode | CAD |
ISIN | CA3941631093 |
Sector | Energy |
Industry | Oil & Gas E&P |
Market Cap | 1M |
---|---|
Beta | 1.58 |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
Greencastle Resources Ltd., together with its subsidiaries, engages in the exploration and development of gold, base metal, oil and gas properties, and royalties in Canada. The company operates through Investments in Private and Public Companies; Oil and Gas Interests; and Mining Interests segments. It holds interests in the Jewel Ridge gold property located in Nevada, the United States; the Primate oil and gas property in Saskatchewan; and the Ferrier oil and gas project located in Alberta. The company also holds royalty interests in wells located in the Spirit River area, Alberta. Greencastle Resources Ltd. was founded in 1996 and is headquartered in Toronto, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for VGN.V using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025